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All Journal JURIKOM (Jurnal Riset Komputer) Jurnal Sistem Komputer dan Informatika (JSON)
Sri Kusnasari
STMIK Triguna Dharma, Medan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Data Mining Untuk Menganalisa Pola Penjualan Pestisida dengan Mengunakan Algoritma FP-Growth Masyuni Hutasuhut; M Gilang Suryanata; Sri Kusnasari; Muhammad Agung Lesmana
JURIKOM (Jurnal Riset Komputer) Vol 9, No 6 (2022): Desember 2022
Publisher : STMIK Budi Darma

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Abstract

UD. Dimas Tani is a shop located in Perbaungan District in Serdang Bedagai Regency, North Sumatra. This shop sells various types of pesticides. However, in the process of recording the data, the store still uses a manual system, so the store cannot identify and classify which pesticides have the highest sales volume. Therefore, the difficulty faced by the store is that it often runs out of stock due to high sales. In order to facilitate the UD. Dimas Tani related to the problem of determining the types of pesticides that need to be in more stock and regulating the placement of pesticides, a Data Mining program was made using the FP-Growth method as a computational method to solve the problem of determining the types of pesticides that need to be in the warehouse and arranging the placement of pesticides at UD. Dimas Tani. The result of this research is the creation of a Data Mining System that can perform a process based on the results in the form of decisions in determining the type of pesticide that needs to be in stock more and the placement of the right and accurate pesticide
Aplikasi Cerdas Membantu Orang Tua Meningkatkan Kecerdasan Anak Dalam Pembelajaran Online Pandemi Covid -19 Dengan Algoritma C4.5. Erika Fahmi Ginting; Khairi Ibnutama; Sri Kusnasari
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3620

Abstract

During the current covid-19 pandemic, parents must play a direct role as teachers during online learning from school for their children at home. Knowing the potential intelligence of children is certainly important for parents. By analyzing the ability of the right and left brain, a child can be directed and developed according to their respective abilities. The ability of children's brains at the age of 6 to 12 years is very good to make parents and teachers more selective in determining suitable learning methods to apply them to children. The system that will be built in this research makes it possible to determine the potential of brain intelligence possessed by a child by classifying based on alternatives from the state of right brain or left brain intelligence provided in the database to determine the child's potential. The process of classifying the potential intelligence of children is carried out using the C4.5 Algorithm method pattern from the field of Data Mining. The results of this study are applications that can help parents understand the potential of a child. during the pandemic. The results of making the system that has been carried out have been tested using Rapid Miner and get accurasy results of 90% and classification error with a value of 10%.
Co-Authors Ginting, Erika Fahmi Khairi Ibnutama Masyuni Hutasuhut Mhd Gilang Suryanata Muhammad Agung Lesmana